A pentest can be complex.
We simulate it in one click.

See how an attacker could reach your critical systems. Every attack path is replayed continuously from your live data and ranked by real risk.

Critical attack path chained from your live vulnerabilities External 1Recon 2Access 3Priv-esc 4Lateral ! ! 5 Domain admin Customer data reached exploitable path Full pentest coverage Recon Credential attacks Web & API Priv-esc & lateral Remediation
Critical attack path
Exposed before impact
Re-runs every week
9 attack paths ranked
In depth

Continuous pentest-grade attack chains, from your own data.

The AI Pentest Simulation tool chains your live vulnerability, exposure, and network data into a structured attack narrative: how an attacker would move, what they would access, and how you stop them. It runs weekly or daily, not once a year. One data set, one bill, one place to find and fix.

What you face

  • Annual pentests, weekly change. Your network shifts every week, yet the test is a once-a-year snapshot.
  • Three tools, three logins. Scanner finds it, ticket tool queues it, RMM maybe fixes it — weeks between find and fix.
  • Scores, not stories. Spreadsheets of CVSS numbers, no narrative of which paths attackers would actually exploit.
  • Patched, still behind. By the time you patch, attackers may already see a newer chain in your network.

How RoboShadow answers it

  • Continuous simulation, not annual snapshots. AI analyses your live scan data daily, building attack paths as risk evolves — emerging chains in days, not months.
  • Find AND fix in one place. Findings live with your scan data, your auto-fix queue and your remediation history. One data set, one bill, no tool gaps.
  • Narrative chains, ranked by real risk. See what connects to what, how an attacker moves, and the blast radius — ranked by exploitability, not CVSS alone, so you fix what breaks you first.
  • Proof before and after. Re-run simulation after you patch to prove attack paths are actually gone. Audit-ready evidence that closure is real.
What it is

Pentest Simulation chains your Device Compliance, External Scanner and LAN Scanner data into attack narratives — external breach, lateral movement, data access — so each step becomes a ranked fix priority, not a spreadsheet of unrelated findings.

Scope

Not a replacement for a human CREST-certified pentest — RoboShadow runs yearly CREST engagements on its own infrastructure and holds SOC 2 Type II. Simulation compresses the months between pentests into days, catching emerging chains from your live data.

From feature to outcome

Evidence for your board and auditors

Export findings as structured reports mapped to ISO 27001, NIST 800-171, SOC 2, or your own framework. Show that you have seen the same attack paths your auditors would spot, and prove closure with simulation re-runs after remediation.

Weeks of work compressed to days

No waiting for a consultant to schedule a pentest, deliver weeks later, and hand off a PDF you then have to action. Run simulation in hours, export board-ready narrative, and move straight to fixing the chains that matter.

One platform, one agent, one bill

Findings live in the same platform as your scans, your auto-fix queue, and your device inventory. No scanner, no ticketing tool, no RMM tool. No handoffs. Multi-tenant isolation and role-based control mean your team sees only what they are meant to, and fixes are gated by approval before they execute.

Fix what breaks you, not noise

Thousands of CVEs; only a handful form exploitable chains in your actual network. See which ones matter and ignore the rest. Each path scored by likelihood and blast radius, not CVSS alone.

Proof that patches work

Re-run simulation after you patch to prove an attack path is actually gone. See the before and after. No more guessing whether a security change achieved what you intended.

Continuous posture, not snapshots

Risk changes when services deploy, permissions drift, and new CVEs land. Simulation runs daily or weekly, so you stay ahead of the chains attackers would see, not months behind them.

The output

Every finding, ranked worst-first.

This is what a simulation hands back: your live exposure scored, findings ordered by real risk, and how many RoboShadow can auto-fix right now — the same board your team works from and exports for the board and auditors.

AI Pentest · Northwind Trading
Simulated externally · last run 18 Aug 2026, 04:12
Re-running weekly
Exposure score
82
/ 100
▼ 14 in 6 weeks
Findings by severity
Critical3
High7
Medium12
Low5
Attack surface
24
public IPs · 6 domains
Auto-fixable now
18
of 27 findings
Findings · 27 totalsorted worst-first ▾
9.8Critical Unpatched VPN gatewayedge-vpn-01 · public New
9.1Critical Exposed RDP on public IP203.0.113.24:3389 Open
9.0Critical SMB signing disabledfs-core-02 Auto-fix
8.2High Outdated web server · injection riskweb-prod-01 Open
7.5High Weak TLS ciphers acceptedmail.northwind.co Auto-fix
5.9Medium Verbose error pages leak stack tracesweb-prod-01 Open
+ 21 more findings — 12 medium, 5 low · full detail in the report
Simulation over your live vulnerability & exposure data — nothing is exploited. Download report · PDF
Use case

When to run pentest simulation

Before annual pentests Run simulation monthly to catch emerging paths early. Your manual pentest then validates the AI findings and covers areas too complex for automation, making better use of consultant time.
Instead of pentests When you cannot afford annual consultants or annual reviews fall weeks behind. Run simulation every week and close issues as they emerge, so you stay ahead of attackers instead of always reactive.
For SOC teams and CTOs Continuous attack path visibility keeps your security posture front-of-mind. No surprises in audits or incidents, because you have been seeing the same chains your auditors or attackers would spot.
During remediation Verify that a patch or configuration change actually breaks attack paths. Re-run simulation to confirm an exploitable chain is gone before closing the ticket.
How simulation works

Catch chains before attackers

01 Map
Your live attack surface

Agent finds CVEs, misconfigurations and permission drift across every endpoint and cloud asset in real time.

02 Chain
Exploit paths discovered

AI chains CVEs and misconfigurations into attack paths that would actually lead to breach, not noise in a scanner output.

03 Prove
After you patch

Re-run simulation to verify the chain is broken. No guessing. See before, after, and the exact change that mattered.